e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Genomic architecture of bovine kappa-casein and beta-lactoglobulin


The objective of this study was to characterize the genetic architecture underlying the absolute concentrations of 2 important milk proteins, kappa-casein (kappa-CN) and beta-lactoglobulin (beta-LG), in a backcross population of (Holstein x Jersey) x Holstein cattle. A genomewide association analysis was performed using a selective DNA pooling strategy and the Illumina BovineHD BeadChip assay [777,000 (777K) SNP markers; Illumina Inc., San Diego, CA]. After correction for multiple testing, 25 single nucleotide polymorphisms were found to be associated with kappa-CN and 36 single nucleotide polymorphisms were associated with beta-LG. A pathway association analysis revealed 15 Gene Ontology (GO) terms associated with the is kappa-CN trait and 28 GO terms associated with beta-LG. In addition, several GO terms were associated with both milk proteins. Further analysis revealed that kappa-CN and beta-LC production is regulated by both kinase and phosphatase activity, including mechanisms regulating the extracellular matrix. These results are in concordance with the complex multihormonal process controlling the expression of milk proteins and interactions between mammary epithelial cells and extracellular matrix components. Although kappa-CN and beta-LG milk proteins are expressed by single genes, the results from this study showed that many loci are involved in the regulation of the concentration of these 2 proteins.

  • CL
  • US
  • Univ_Wisconsin_Madison (US)
Data keywords
  • ontology
Agriculture keywords
  • cattle
Data topic
  • big data
  • information systems
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Univ_Wisconsin_Madison (US)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.